Remote Data Scientist

Description:

• As a Pythian Data Scientist, you will leverage your expertise in data analysis, machine learning, and statistical modeling to deliver insights and build predictive models.
• You will work on both internal IP development and client projects, applying a variety of techniques to solve complex business problems.
• Your responsibilities include collecting, cleaning, and analyzing large datasets from various sources to extract meaningful insights.
• You will develop and implement machine learning models, including both supervised and unsupervised techniques.
• Fine-tuning and adapting pre-trained models, such as Large Language Models (LLMs), for specific use cases and client projects will be part of your role.
• Collaboration with cross-functional teams, including software engineers, product managers, and domain experts, will be essential to develop data-driven solutions.
• You will build predictive models and algorithms that address complex business challenges.
• Communicating results and insights effectively to stakeholders through data visualizations and reports is a key responsibility.
• Staying current with the latest developments in data science, machine learning, and AI, with a focus on the practical application of pre-trained models and cutting-edge technologies, is expected.
• You will also develop and maintain internal IP around advanced analytics, model development, and AI-driven tools.

Requirements:

• A Bachelor's or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field is required; a Ph.D. is a plus.
• You must have 3+ years of experience in data science, machine learning, or a related role.
• Proficiency in programming languages such as Python or R and experience with data science libraries (e.g., TensorFlow, PyTorch, Scikit-learn) is necessary.
• Hands-on experience with pre-trained models such as Large Language Models (LLMs) or other deep learning frameworks is required.
• A strong understanding of statistical analysis, machine learning algorithms, and data visualization techniques is essential.
• Experience working with databases (SQL, NoSQL) and cloud platforms (AWS, GCP, Azure) is needed.
• Excellent communication skills are required, with the ability to translate complex data findings into actionable business insights.
• Experience with client-facing projects or in a consulting environment is a plus.

Benefits:

• You will receive a competitive total rewards package with excellent take-home salaries, a shifted work time bonus (if applicable), and an annual bonus plan.
• An annual training allowance is provided to hone your skills or learn new ones, along with 2 paid professional development days, and opportunities to attend conferences or become certified.
• The position offers 3 weeks of paid time off and flexible working hours, requiring only a stable internet connection.
• All necessary equipment to work from home will be provided, including a laptop with your choice of OS and a budget to personalize your work environment.
• You will have the opportunity to blog during work hours and take a day off to volunteer for your favorite charity.